Predicting spatially dependent reaction rate for problem with nonuniform temperature distribution by subgroup method
Name
Forget_Predicting spatially.pdf
Description
Accepted version
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879.49 KB
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7b83276c2887fac17614389a53c93897
Author(s)
He, Qingming
Cao, Liangzhi
Wu, Hongchun
Forget, Benoit Robert Yves
Smith, Kord S.
Date Issued
2018
Journal
Annals of Nuclear Energy
Publisher
Elsevier BV
Version
Author's final manuscript
Abstract
© 2017 Elsevier Ltd The subgroup methods based on partial cross section fit scheme (PXSFS) and simplified partial cross section fit scheme (SPXSFS) are proposed in this paper to treat problems with non-uniform temperature distribution. These methods fit the cross sections at different temperatures as partial cross sections and share a same set of subgroup probabilities. The new methods are compared to the pre-existing methods: conventional subgroup method (CSM), the correlation model (CM), the subgroup level adjustment scheme (SLAS) and the number density adjustment scheme (NDAS). The numerical results show that the new methods can better predict the spatially dependent reaction rates than pre-existing methods. Within the new methods, the simplified scheme consumes less computation time and is more numerically stable. Additionally, the superhomogenization (SPH) correction method is studied, which is used to treat the multi-group (MG) equivalence effect. It is found that the subgroup-one-group (subgroup-1G) calculation can fully capture the MG equivalence effect.
MIT Department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.ANUCENE.2017.08.054
